Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-aided OWC Network

TL;DR

This paper investigates optimizing placement, orientation, and resource allocation in cell-free optical wireless networks enhanced by optical intelligent reflecting surfaces, demonstrating significant improvements in spectral and energy efficiency.

Contribution

It introduces a multi-objective optimization framework for OIRS-aided OWC networks, focusing on joint parameter tuning to enhance performance metrics.

Findings

OIRS significantly improves spectral efficiency.

OIRS enhances energy efficiency.

Optimization effectively balances QoS and efficiency.

Abstract

The emergence of optical intelligent reflecting surface (OIRS) technologies marks a milestone in optical wireless communication (OWC) systems, enabling enhanced control over light propagation in indoor environments. This capability allows for the customization of channel conditions to achieve specific performance goals. This paper presents an enhancement in downlink cell-free OWC networks through the integration of OIRS. The key focus is on fine-tuning crucial parameters, including transmit power, receiver orientations, OIRS elements allocation, and strategic placement. In particular, a multi-objective optimization problem (MOOP) aimed at simultaneously improving the network's spectral efficiency (SE) and energy efficiency (EE) while adhering to the network's quality of service (QoS) constraints is formulated. The problem is solved by employing the $\epsilon$-constraint method to convert the MOOP into a single-objective optimization problem and solving it through successive convex approximation. Simulation results show the significant impact of OIRS on SE and EE, confirming its effectiveness in improving OWC network performance.